Creative

Nonfiction Author

Based on 20 assessments

23% Low risk

Average realistic automation risk across all Nonfiction Author profiles in the dataset.

Raw potential
66%
Realistic risk
23%
Research benchmark ?
74%

Raw potential = I/O automation ceiling. Realistic risk = adjusted for informal knowledge and social context. Research benchmark: Eloundou et al. (2023)

Distribution across 20 profiles. Middle half of Nonfiction Authors score between 19% and 26%.

0% 50% 100%
p10 · 17%
28% · p90
On-screen work 55%

Done entirely on a computer. High AI exposure — these tasks are already in the automation zone.

In-person + screen 24%

Physical sensing, digital output — e.g. interviewing someone then writing a report. Partially protected.

Computer + action 13%

Computer input, real-world output — needs someone to act on it, not just software.

Fully in-person 8%

No computer required. Furthest from automation — the strongest human advantage.

3 synthetic profiles for a Nonfiction Author, ordered by automation exposure. Tab between them to see how task mix drives the score difference.

Task Time Type Exposure
Writing and drafting manuscript (composing prose, structuring chapters, revising text)
deep expertise
38% DD 10%
Research and gathering information (interviews, archival work, reading sources, fact-checking)
deep expertise social element
38% AD 19%
Promotion and marketing (social media, speaking engagements, book tours, media interviews)
some context needed
13% DA 13%
Editing and polishing work (self-editing, incorporating feedback, refining arguments)
deep expertise social element
5% DD 34%
Administrative tasks (invoicing, tracking submissions, managing deadlines, filing)
3% DD 94%
Communication with editors, agents, and publishers (email, calls, contract negotiation)
some context needed
1% AA 6%

Work as a Nonfiction Author? Map your specific role.

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